Applications of Management Science by Ronald Klimberg

By Ronald Klimberg

Quantity 12 of the "Applications of administration technology" sequence is directed towards the purposes of administration technological know-how to: Multi-Criteria selection Making, Operations and provide Chain administration, productiveness administration (DEA), and monetary administration. This quantity will end up important to researchers, practitioners and scholars of administration technology and operations study. It presents an outline of a few of the main crucial facets of the self-discipline and is a wonderful aspect of reference for folks attracted to administration or administration technology. It specializes in 4 key purposes of administration technology, and is concentrated in the direction of a large viewers of researchers, practitioners, and scholars.

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Netherlands: Elsevier Science/JAI Press, Amsterdam. Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, Series A, General, 120(3), 253–281. Ferrier, G. , & Hirschberg, J. G. (1997). Bootstrapping confidence intervals for linear programming efficiency scores: With an illustration using italian banking data. Journal of Productivity Analysis, 8(1), 19–33. Gstach, D. (1995). Comparing structural efficiency of unbalanced subsamples: A resampling adaptation of data envelopment analysis.

6, pp. 35–53). Netherlands: Elsevier Science/JAI Press, Amsterdam. Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, Series A, General, 120(3), 253–281. Ferrier, G. , & Hirschberg, J. G. (1997). Bootstrapping confidence intervals for linear programming efficiency scores: With an illustration using italian banking data. Journal of Productivity Analysis, 8(1), 19–33. Gstach, D. (1995). Comparing structural efficiency of unbalanced subsamples: A resampling adaptation of data envelopment analysis.

Stewart, T. J. (1996). Relationships between data envelopment analysis and multiple criteria decision making. Journal of the Operational Research Society, 47, 654–665. This page intentionally left blank 22 EVALUATING THE OPERATIONAL EFFICIENCY OF RAILWAY SYSTEMS WITH SENSITIVITY ANALYSES TO SAMPLING VARIATIONS N. K. Kwak, Yong Soo Chun and Seongho Kim ABSTRACT Data Envelopment Analysis (DEA) is a nonparametric mathematical programming technique used to measure the relative efficiency of the production organization’s operations.

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